Model comparison
Gemma 4 31B IT vs GPT-6 Sol
GPT-6 Sol is the stronger model overall, scoring 61.8 to 43.5 on the Noometry Index. Gemma 4 31B IT costs 26× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Last verified . 28 shared benchmarks.
GoogleSummary
- They share 28 benchmarks with published results for both. Gemma 4 31B IT scores higher in 3 categories and GPT-6 Sol in 6 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 74.0 to 27.2.
- The biggest single-benchmark swing is SimpleQA Verified: 10.4% for Gemma 4 31B IT and 60.7% for GPT-6 Sol.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 262K.
- Gemma 4 31B IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 4 31B IT | GPT-6 Sol | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 43.5 | 61.8 |
| Released | 2026-04-02 | 2026-09-22 |
| Weights | Open | Proprietary |
| Context window | 262K | 1.05M |
| Max output | 33K | 128K |
| Input $ / M tokens | $0.09 | $2 |
| Output $ / M tokens | $0.34 | $10 |
| Results tracked | 35 | 45 |
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Category by category
Coding GPT-6 Sol leads
Gemma 4 31B IT: 42.3 (#108), GPT-6 Sol: 60.1 (#11)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| LMArena WebDev | 1366 | 1688 |
| SciCode | 43.4% | 57.6% |
| LMArena Coding | 1459 | 1447 |
| ALE-Bench | 925.5 | 2,462 |
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| WeirdML | 52.3% | — |
Agentic & Tool Use Not comparable
Gemma 4 31B IT: —, GPT-6 Sol: 37.2 (#36)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| APEX-Agents | — | 54.3% |
| GDP.pdf | — | 26.4% |
| Vending-Bench 2 | — | 14,428 |
Reasoning GPT-6 Sol leads
Gemma 4 31B IT: 27.2 (#122), GPT-6 Sol: 74.0 (#9)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| NYT Connections (extended) | 70.6% | 90.1% |
| CritPt | 1.4% | 30.9% |
| LMArena Hard Prompts | 1448 | 1418 |
| DTBench | 82.7% | 97.3% |
| LMCA | 39.3% | 59.1% |
| Epoch Capabilities Index | 142.74 | 162.72 |
| ARC-AGI-2 | — | 89.6% |
| Kagi LLM Benchmark | 63.5% | — |
| ARC-AGI-1 | — | 95.5% |
| Chess Puzzles | 5% | — |
| Thematic Generalization | 53% | — |
| EBR-Bench | — | 53.3% |
| Mystery Game Puzzles | — | 56% |
| Surface Evolver Bench | 30.6% | — |
Math GPT-6 Sol leads
Gemma 4 31B IT: 43.2 (#81), GPT-6 Sol: 87.2 (#7)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.3% | 100% |
| LMArena Math | 1465 | 1402 |
| FrontierMath (Tiers 1-3) | — | 89.8% |
| FrontierMath Tier 4 | — | 90% |
| ProofBench | — | 83% |
Knowledge GPT-6 Sol leads
Gemma 4 31B IT: 37.9 (#151), GPT-6 Sol: 64.8 (#15)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| GPQA Diamond | 75.8% | 94.3% |
| SimpleQA Verified | 10.4% | 60.7% |
| Vectara Hallucination Rate | 7.4% | 6.5% |
| LMArena Expert | 1465 | 1439 |
Multimodal GPT-6 Sol leads
Gemma 4 31B IT: 41.6 (#34), GPT-6 Sol: 47.6 (#10)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| LMArena Vision | 1277 | 1245 |
| Blueprint-Bench 2 | — | 36.9% |
| Furniture Assembly | — | 58.3% |
| LMArena Document | 1425 | — |
Multilingual Gemma 4 31B IT leads
Gemma 4 31B IT: 53.8 (#57), GPT-6 Sol: 50.5 (#118)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1431 | 1385 |
| LMArena Chinese | 1476 | 1405 |
| LMArena French | 1435 | 1410 |
| LMArena Russian | 1460 | 1401 |
| LMArena Spanish | 1444 | 1384 |
| LMArena German | — | 1390 |
| LMArena Japanese | — | 1385 |
| LMArena Korean | — | 1341 |
Instruction Following Gemma 4 31B IT leads
Gemma 4 31B IT: 75.5 (#61), GPT-6 Sol: 74.5 (#94)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1433 | 1412 |
Long Context Gemma 4 31B IT leads
Gemma 4 31B IT: 44.2 (#71), GPT-6 Sol: 43.1 (#108)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1446 | 1411 |
Writing & Preference GPT-6 Sol leads
Gemma 4 31B IT: 60.5 (#96), GPT-6 Sol: 71.9 (#18)
| Benchmark | Gemma 4 31B IT | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1443 | 1395 |
| LMArena Creative Writing | 1415 | 1378 |
| EQ-Bench Creative Writing | 1368 | 2125 |
| LMArena Multi-Turn | 1452 | 1412 |
| EQ-Bench 4 | 1120 | — |
Frequently asked questions
Is Gemma 4 31B IT better than GPT-6 Sol?
GPT-6 Sol is the stronger model overall, scoring 61.8 to 43.5 on the Noometry Index. Gemma 4 31B IT costs 26× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Which is cheaper, Gemma 4 31B IT or GPT-6 Sol?
Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; GPT-6 Sol lists at $2 and $10.
Is Gemma 4 31B IT or GPT-6 Sol better for coding?
GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 42.3 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 262K.
How many benchmarks do Gemma 4 31B IT and GPT-6 Sol share?
28 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and GPT-6 Sol has 45.